Equities & Derivatives: Investment Banking Guide
Welcome to the world of Wall Street! π¦ This guide will take you from zero to understanding how major investment banks like Goldman Sachs, Morgan Stanley, JP Morgan, and others trade equities and derivatives. Grab a coffee β β this is your 60-90 minute journey into the heart of capital markets.
What You'll Learn: How stocks work, what derivatives are, how banks make money trading them, and the key concepts you need to understand this multi-trillion dollar industry.
π Table of Contentsβ
| Section | Time | What You'll Learn |
|---|---|---|
| Part 1: Understanding Equities | 15 min | Stocks, markets, how banks participate |
| Part 2: Introduction to Derivatives | 20 min | Options, futures, swaps explained simply |
| Part 3: Options Deep Dive | 20 min | Calls, puts, strategies with examples |
| Part 4: Investment Bank Structure | 15 min | How trading desks work |
| Part 5: Real-World Examples | 10 min | Case studies from famous banks |
Part 1: Understanding Equities
What is Equity? π β
The Analogy: Owning a Pizza Shopβ
Imagine you and 3 friends open a pizza shop worth $100,000. Each of you owns 25% β that's equity. You're not lending money to the shop; you own part of it.
Pizza Shop Value: $100,000
βββββββββββββββββββββββββββββββββββββββββββββββββββ
β You: 25% β Friend A: 25% β Friend B: 25% β Friend C: 25% β
β ($25,000) β ($25,000) β ($25,000) β ($25,000) β
βββββββββββββββββββββββββββββββββββββββββββββββββββ
Now imagine the shop becomes publicly traded β anyone can buy a piece:
Pizza Shop Inc. - 100,000 shares at $1 each
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Anyone can buy shares on the stock exchange! β
β Buy 1,000 shares = Own 1% of the company β
β Shop doubles in value? Your shares are now worth $2 each! β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
That's what a stock is β a tiny piece of ownership in a company.
Key Equity Conceptsβ
π Market Capitalization (Market Cap)β
Definition: The total value of all a company's shares
Market Cap = Share Price Γ Number of Shares Outstanding
Example: Apple Inc.
- Share Price: $180
- Shares Outstanding: 15.5 billion
- Market Cap: $180 Γ 15.5B = $2.79 Trillion π
| Category | Market Cap | Examples |
|---|---|---|
| Mega Cap | > $200 billion | Apple, Microsoft, Google, Amazon |
| Large Cap | $10-200 billion | Netflix, Adobe, Salesforce |
| Mid Cap | $2-10 billion | Etsy, Zillow |
| Small Cap | $300M - $2B | Regional banks, emerging companies |
| Micro Cap | < $300 million | Startups, penny stocks |
π Stock Indicesβ
Analogy: A stock index is like a "playlist" of stocks that represents the market
| Index | What It Tracks | Analogy |
|---|---|---|
| S&P 500 | 500 largest US companies | The "Billboard Hot 500" of stocks |
| Dow Jones (DJIA) | 30 blue-chip companies | The "Hall of Fame" 30 |
| NASDAQ | Tech-heavy US stocks | The "Tech Playlist" |
| Russell 2000 | 2000 small-cap stocks | The "Indie Artists" |
| FTSE 100 | 100 largest UK companies | The "British Top 100" |
| Nikkei 225 | 225 largest Japanese companies | Japan's "Elite 225" |
π Live Index Data: Yahoo Finance - Markets
How Investment Banks Participate in Equitiesβ
Investment banks don't just buy and sell stocks for themselves β they're the infrastructure of the market.
THE EQUITY ECOSYSTEM
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β INVESTMENT BANK β
β ββββββββββββββββββββββββββββββββββββββββββββββββββ β
β β β β
β β π UNDERWRITING πΉ SALES & TRADING β β
β β Help companies Buy/sell stocks for β β
β β go public (IPO) institutional clients β β
β β β β
β β π¬ RESEARCH πͺ MARKET MAKING β β
β β Analyze stocks, Provide liquidity, β β
β β publish reports always ready to trade β β
β β β β
β ββββββββββββββββββββββββββββββββββββββββββββββββββ β
β β β
β βΌ β
β ββββββββββββββββββββββββββββββββββββββββββββββββββββ β
β β CLIENTS: Hedge Funds, Pension Funds, Mutual β β
β β Funds, Sovereign Wealth Funds, Corporations β β
β ββββββββββββββββββββββββββββββββββββββββββββββββββββ β
β β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Key Roles Explainedβ
| Role | What They Do | Analogy |
|---|---|---|
| Underwriting | Help companies sell new shares to the public (IPO) | Real estate agent selling a house |
| Sales | Talk to clients, understand their needs, execute trades | Personal shopper |
| Trading | Execute large orders, manage risk | The chef in the kitchen |
| Research | Analyze companies, publish "Buy/Sell/Hold" ratings | Restaurant critics |
| Market Making | Always ready to buy/sell, provide liquidity | The house in a casino |
IPO: How a Company Goes Publicβ
The Analogy: Selling Your Art at an Auction π¨β
You're an artist with valuable paintings. An IPO is like hiring Sotheby's to auction your art for the first time.
COMPANY'S IPO JOURNEY
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Step 1: HIRE INVESTMENT BANKS (Underwriters)
Company: "I want to go public!"
Banks: Goldman Sachs, Morgan Stanley, JP Morgan
Step 2: DUE DILIGENCE & VALUATION
Banks analyze: finances, market, growth potential
Determine: "Your company is worth $10 billion"
Step 3: FILE WITH SEC (S-1 Registration)
Public document with all company details
π SEC EDGAR Database: https://www.sec.gov/edgar
Step 4: ROADSHOW
Management presents to institutional investors
"Here's why you should buy our stock!"
Step 5: PRICING
Based on investor demand, set IPO price
Example: $50 per share, 100M shares = $5B raised
Step 6: LISTING DAY π
Stock starts trading on NYSE/NASDAQ
The opening bell rings!
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Famous IPOsβ
| Company | Year | IPO Price | First Day Close | Bank Lead |
|---|---|---|---|---|
| 2012 | $38 | $38.23 | Morgan Stanley | |
| Alibaba | 2014 | $68 | $93.89 | Credit Suisse |
| Uber | 2019 | $45 | $41.57 | Morgan Stanley |
| Airbnb | 2020 | $68 | $144.71 | Morgan Stanley |
| Rivian | 2021 | $78 | $100.73 | Morgan Stanley |
π Track Upcoming IPOs: Nasdaq IPO Calendar
Part 2: Introduction to Derivatives
What is a Derivative? πβ
The Analogy: A Contract About Something Elseβ
A derivative is a contract whose value is DERIVED from something else (the "underlying asset")
Think of it like this:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β UNDERLYING ASSET DERIVATIVE β
β (The actual thing) (A contract about it) β
β β
β π House β Insurance policy β
β πΎ Wheat β Futures contract β
β π Stock β Option to buy/sell β
β π± Currency β Forward contract β
β π Interest Rate β Swap agreement β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Real-world analogy: A movie ticket is like a derivative:
- The underlying = the movie experience
- The derivative = the ticket (gives you the RIGHT to see the movie)
- The ticket's value DEPENDS ON the movie's popularity
Types of Derivativesβ
DERIVATIVES FAMILY TREE
β
βββββββββββββββββΌββββββββββββββββ
β β β
ββββββΌβββββ βββββββΌββββββ βββββββΌββββββ
β OPTIONS β β FUTURES β β SWAPS β
β β β & FORWARDSβ β β
ββββββ¬βββββ βββββββ¬ββββββ βββββββ¬ββββββ
β β β
Right, not Obligation to Exchange cash
obligation buy/sell flows over time
Quick Overviewβ
| Type | What It Is | Analogy | Traded Where |
|---|---|---|---|
| Option | Right (not obligation) to buy/sell | Restaurant reservation | Exchange (CBOE) |
| Future | Obligation to buy/sell at future date | Pre-ordering a concert ticket | Exchange (CME) |
| Forward | Same as future, but customized | Custom order from a tailor | OTC (Over-the-Counter) |
| Swap | Exchange cash flows | Trading chores with a roommate | OTC |
Why Do Derivatives Exist?β
Three Main Purposesβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β 1οΈβ£ HEDGING (Insurance) β
β "I want to PROTECT myself from price changes" β
β β
β Example: Airline buys oil futures to lock in fuel prices β
β β
β 2οΈβ£ SPECULATION (Betting) β
β "I want to PROFIT from price changes" β
β β
β Example: Trader buys call options betting stock goes up β
β β
β 3οΈβ£ ARBITRAGE (Risk-free profit) β
β "I want to exploit PRICE DIFFERENCES" β
β β
β Example: Buy low in one market, sell high in another β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Futures Contracts Explainedβ
The Analogy: Pre-ordering a Limited Edition Sneaker πβ
You want the new Jordan sneakers releasing in 3 months at $200. You're worried the price will go up. So you sign a contract TODAY to buy them at $200 in 3 months, no matter what happens.
FUTURES CONTRACT
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
TODAY (February):
- You AGREE to buy sneakers in May
- Price locked at $200
- Both parties MUST honor the contract
SCENARIO A: Sneakers retail for $300 in May
- You still pay $200 β
- You saved $100! π
SCENARIO B: Sneakers retail for $150 in May
- You still pay $200 β
- You lost $50 π’
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Real Futures Example: Oilβ
Crude Oil Futures Contract (CME)
βββββββββββββββββββββββββββββββ
Contract Size: 1,000 barrels
Current Price: $75 per barrel
Expiry: March 2026
Contract Value: $75 Γ 1,000 = $75,000
If oil goes to $80 at expiry:
- Long position profit: ($80-$75) Γ 1,000 = $5,000
- Short position loss: -$5,000
If oil goes to $70 at expiry:
- Long position loss: -$5,000
- Short position profit: $5,000
π Live Futures Prices: CME Group
Swaps Explainedβ
The Analogy: Trading Chores with Your Roommate π β
You hate washing dishes but don't mind vacuuming. Your roommate is the opposite. You SWAP:
BEFORE SWAP:
You: Dishes (hate it) + Vacuuming (okay)
Roommate: Dishes (loves it) + Vacuuming (hates it)
AFTER SWAP:
You: Vacuuming only β
Roommate: Dishes only β
Both are happier! This is a SWAP.
Interest Rate Swap (Most Common)β
The Big Idea: Company A has a floating rate loan. Company B has a fixed rate loan. They SWAP payments.
INTEREST RATE SWAP EXAMPLE
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Company A (wants fixed rate):
- Has: Floating rate loan (changes with market)
- Worried: Rates might go UP
Company B (wants floating rate):
- Has: Fixed rate loan (stays same)
- Thinks: Rates might go DOWN
THE SWAP:
ββββββββββββββ ββββββββββββββ
β Company A β βββFixed 5%βββββΊ β Company B β
β β βββFloating LIBORβββ β
ββββββββββββββ ββββββββββββββ
Result:
- A effectively has fixed rate (what they wanted)
- B effectively has floating rate (what they wanted)
- Both pay what they prefer!
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Types of Swapsβ
| Swap Type | What's Exchanged | Example Use Case |
|---|---|---|
| Interest Rate Swap | Fixed vs. Floating payments | Managing loan risk |
| Currency Swap | Different currency payments | International business |
| Credit Default Swap (CDS) | Protection against default | Insurance on bonds |
| Total Return Swap | Total return of an asset | Synthetic ownership |
| Equity Swap | Equity returns for fixed/floating | Portfolio management |
π Market Size: The global swaps market is over $400 trillion in notional value!
Part 3: Options Deep Dive
Options: The Right, Not the Obligationβ
The Analogy: A Non-Refundable Deposit on a House π β
You want to buy a house worth $500,000, but need 3 months to arrange financing. You pay the seller a $10,000 option fee to "lock in" the price.
HOUSE OPTION EXAMPLE
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
You pay: $10,000 today (the "premium")
You get: The RIGHT to buy the house at $500,000 in 3 months
SCENARIO A: House value rises to $600,000
- You exercise your option
- Buy at $500,000, instantly worth $600,000
- Profit: $100,000 - $10,000 premium = $90,000 β
SCENARIO B: House value falls to $400,000
- You DON'T exercise (why buy at $500K if worth $400K?)
- You lose your $10,000 premium
- Loss: $10,000 (but saved from $100,000 loss!) β
SCENARIO C: You change your mind
- You don't HAVE to buy
- You just lose your $10,000 premium
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Call Options vs. Put Optionsβ
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β CALL OPTION π PUT OPTION π β
β Right to BUY Right to SELL β
β β
β You're BULLISH You're BEARISH β
β (think price goes UP) (think price goes DOWN) β
β β
β "I want to buy low "I want to sell high β
β if price rises" if price falls" β
β β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Visual Representationβ
CALL OPTION PAYOFF (Buying a Call)
β
β β±
Profit β β±
β β±
βββββββββββββββββββββΌββββββββββββββββββββββββββΊ Stock Price
β ββ²
Loss β β β² Max Loss = Premium Paid
β Strike
β Price
PUT OPTION PAYOFF (Buying a Put)
β
β² β
β² β
β² β
βββββββΌβββββββββββββββββββββββββββΊ Stock Price
β β
Strike β Max Loss = Premium Paid
Price β
Options Terminology Explainedβ
| Term | Definition | Analogy |
|---|---|---|
| Premium | Price paid for the option | The reservation fee |
| Strike Price | Price at which you can buy/sell | The agreed house price |
| Expiration Date | When the option expires | Reservation deadline |
| Underlying | The asset the option is based on | The house itself |
| In-the-Money (ITM) | Option has intrinsic value | House worth more than your price |
| Out-of-the-Money (OTM) | Option has no intrinsic value | House worth less than your price |
| At-the-Money (ATM) | Strike = Current price | House worth exactly your price |
In/Out/At the Money Examplesβ
Stock trading at: $100
CALL OPTIONS:
βββββββββββββββββββββββββββββββββββββββββ
Strike $90 β IN-THE-MONEY (ITM) β
You can buy at $90, sell at $100 = $10 value
Strike $100 β AT-THE-MONEY (ATM) β
Break-even territory
Strike $110 β OUT-OF-THE-MONEY (OTM) β
Why buy at $110 when market is $100?
PUT OPTIONS:
βββββββββββββββββββββββββββββββββββββββββ
Strike $110 β IN-THE-MONEY (ITM) β
You can sell at $110, buy at $100 = $10 value
Strike $100 β AT-THE-MONEY (ATM) β
Strike $90 β OUT-OF-THE-MONEY (OTM) β
Why sell at $90 when market is $100?
Complete Options Exampleβ
Apple (AAPL) Call Optionβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
AAPL CALL OPTION ANALYSIS
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Current Stock Price: $180
Option Type: CALL
Strike Price: $185
Expiration: 30 days
Premium: $5.00 per share
Contract Size: 100 shares
TOTAL COST: $5.00 Γ 100 = $500
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
SCENARIO ANALYSIS
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
If AAPL = $200 at expiration:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Intrinsic Value: $200 - $185 = $15 per share β
β Total Value: $15 Γ 100 = $1,500 β
β Profit: $1,500 - $500 (premium) = $1,000 β
β
β Return: 200% π β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
If AAPL = $185 at expiration:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Intrinsic Value: $185 - $185 = $0 β
β Option expires worthless β
β Loss: $500 (entire premium) β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
If AAPL = $170 at expiration:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Option expires worthless (why buy at $185 if stock is $170?)β
β Loss: $500 (entire premium) β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
BREAK-EVEN POINT: $185 + $5 = $190
(Stock must exceed $190 for you to profit)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
The Greeks: Measuring Option Riskβ
The Greeks tell you HOW an option's price will change when something else changes
| Greek | Symbol | Measures | Analogy |
|---|---|---|---|
| Delta | Ξ | Price change per $1 stock move | Speedometer |
| Gamma | Ξ | How fast delta changes | Acceleration |
| Theta | Ξ | Time decay per day | Melting ice |
| Vega | V | Sensitivity to volatility | Sensitivity to weather |
| Rho | Ο | Sensitivity to interest rates | Sensitivity to inflation |
Delta Explainedβ
DELTA (Ξ): How much option moves per $1 stock move
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Call Option with Delta = 0.50
Stock goes UP $1:
- Option price goes UP $0.50
Stock goes DOWN $1:
- Option price goes DOWN $0.50
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
DELTA RANGES:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β CALLS: 0 to +1.0 β
β PUTS: -1.0 to 0 β
β β
β Deep ITM Call: Delta β 0.90 (moves almost like stock) β
β ATM Call: Delta β 0.50 (moves half as much) β
β Deep OTM Call: Delta β 0.10 (barely moves) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Theta (Time Decay)β
THETA: Options LOSE value every day (time decay)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Option Price: $5.00
Theta: -$0.10
Tomorrow (all else equal):
Option Price: $5.00 - $0.10 = $4.90
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
TIME DECAY VISUALIZATION:
Option Value
β
$10 ββ
β β
β β
$5 β β
β β
β βββ
$0 βββββββββββββββββββββββββΊ Time
30 days 10 days Expiry
β οΈ Time decay ACCELERATES near expiration!
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π Options Calculator: Options Profit Calculator
Popular Options Strategiesβ
Basic Strategiesβ
| Strategy | When to Use | Max Profit | Max Loss |
|---|---|---|---|
| Long Call | Bullish | Unlimited | Premium paid |
| Long Put | Bearish | Strike - Premium | Premium paid |
| Covered Call | Mildly bullish | Premium + (Strike - Stock) | Stock drops to zero |
| Protective Put | Own stock, worried | Unlimited upside | Premium paid |
Intermediate Strategiesβ
BULL CALL SPREAD
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
"Bullish but want to limit cost"
Buy: Call at lower strike ($100) - Pay $8
Sell: Call at higher strike ($110) - Receive $3
Net Cost: $5
Profit
β β±ββββββββ
β β±
β β±
ββββββΌββββββββββββββββββββΊ Stock Price
β $100 $110
-$5 βββββ±
β
Max Profit: $10 - $5 = $5 (at $110 or above)
Max Loss: $5 (below $100)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
IRON CONDOR
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
"I think stock will stay in a range"
Sell Put at $90 + Buy Put at $85 (Bull Put Spread)
Sell Call at $110 + Buy Call at $115 (Bear Call Spread)
Profit
β ββββββββββββββ
β β± β²
ββββββΌβββββββββββββββββββββββΊ Stock Price
β $90 PROFIT ZONE $110
ββ± β²
β β
Profit if stock stays between $90-$110
Loss if stock moves outside this range
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Part 4: Investment Bank Structure
How a Major Bank's Trading Floor Worksβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
INVESTMENT BANK TRADING DIVISION
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββ
β CEO / President β
βββββββββββββ¬ββββββββββββββ
β
βββββββββββββΌββββββββββββββ
β Head of Trading β
βββββββββββββ¬ββββββββββββββ
β
βββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββ
β β β
βΌ βΌ βΌ
βββββββββββββββββββ βββββββββββββββββββ βββββββββββββββββββ
β EQUITIES β β FICC β β PRIME β
β β β (Fixed Income, β β BROKERAGE β
β β’ Cash Trading β β Currencies & β β β
β β’ Derivatives β β Commodities) β β β’ Hedge Fund β
β β’ ETF/Index β β β β Services β
β β’ Program β β β’ Rates β β β’ Securities β
β Trading β β β’ Credit β β Lending β
β β β β’ FX β β β’ Financing β
βββββββββββββββββββ β β’ Commodities β βββββββββββββββββββ
βββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Equity Derivatives Desk Structureβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
EQUITY DERIVATIVES DESK
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββ
β Head of Equity Derivs β
βββββββββββββββ¬ββββββββββββββ
β
βββββββββββββββ¬ββββββββββββββββΌββββββββββββββββ¬ββββββββββββββ
β β β β β
βΌ βΌ βΌ βΌ βΌ
βββββββββββ βββββββββββ βββββββββββββ ββββββββββββ βββββββββββ
β FLOW β β EXOTIC β β STRUCTUREDβ β QUANT β β RISK β
β OPTIONS β β OPTIONS β β PRODUCTS β β RESEARCH β β MGMT β
β β β β β β β β β β
β Vanilla β β Barriersβ β Notes β β Models β β Greeks β
β calls & β β Asians β β Autocalls β β Pricing β β Limits β
β puts β β Lookbackβ β CLNs β β Analyticsβ β P&L β
βββββββββββ βββββββββββ βββββββββββββ ββββββββββββ βββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
ROLES EXPLAINED:
π FLOW OPTIONS (Vanilla Trading)
- Trade standard calls/puts
- High volume, lower margins
- Fast-paced, market-making
π° EXOTIC OPTIONS
- Complex, non-standard options
- Barriers, Asians, Lookbacks
- Higher margins, more math
π STRUCTURED PRODUCTS
- Package derivatives for clients
- Autocallables, reverse convertibles
- Customized risk/return profiles
π’ QUANT RESEARCH
- Build pricing models
- Develop new products
- PhDs and Math wizards
β οΈ RISK MANAGEMENT
- Monitor Greek exposures
- Set and enforce limits
- Stress testing
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Day in the Life: Equity Derivatives Traderβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
A DAY ON THE EQUITY DERIVATIVES DESK (NYC)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
6:00 AM β π
Wake up, check overnight markets
β - Asia closed, Europe opening
β - Review positions affected by overnight news
β
7:00 AM β β Arrive at desk, morning meeting
β - Risk review from overnight
β - Key events: earnings, economic data
β
7:30 AM β π Pre-market preparation
β - Update pricing models
β - Review client orders
β
9:30 AM β π MARKET OPEN - Game time!
β - Execute opening trades
β - Manage flow from clients
β
10:00 AM β π Client calls begin
β - "I want to hedge my tech exposure"
β - "Price me a 3-month put spread"
β
12:00 PM β π Quick lunch at desk
β - Markets don't stop for lunch
β
2:00 PM β π Afternoon trading
β - Manage gamma heading into close
β - Adjust hedges
β
4:00 PM β π MARKET CLOSE
β - End-of-day P&L
β - Position reconciliation
β
5:00 PM β π Risk sign-off
β - Review overnight risk
β - Handoff to Asia desk
β
6:00 PM β π Head home (maybe)
β - Check markets from phone
β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Part 5: Real-World Examples
Case Study 1: Goldman Sachs Market Makingβ
How Market Making Worksβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
MARKET MAKING: Being the "House" for Options
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Goldman Sachs makes markets in Apple options:
BID ASK
$4.95 βββββSPREADβββββΊ $5.05
"We'll BUY "We'll SELL
at $4.95" at $5.05"
Client A wants to BUY β Pays $5.05 to Goldman
Client B wants to SELL β Gets $4.95 from Goldman
Goldman's profit: $5.05 - $4.95 = $0.10 per share
Γ 100 shares per contract
Γ thousands of contracts per day
= Millions in revenue
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
THE CATCH: Goldman now has RISK
After Client A buys:
- Goldman is SHORT the call option
- If Apple stock rockets up, Goldman loses money!
HEDGING:
- Goldman buys Apple stock (delta hedge)
- Continuously adjusts as price moves
- Goal: Capture the spread, minimize directional risk
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Case Study 2: JP Morgan Structured Productβ
Autocallable Note Exampleβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
JP MORGAN AUTOCALLABLE NOTE ON S&P 500
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
PRODUCT SUMMARY:
Investment: $100,000
Term: 2 years
Reference: S&P 500 (starting level: 5,000)
Coupon: 10% per year (if conditions met)
Autocall Barrier: 100% (at or above starting level)
Protection Barrier: 70% (lose principal if breached)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
HOW IT WORKS:
Month 6, 12, 18 (Observation Dates):
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β IF S&P 500 β₯ 5,000 (100%): β
β β Note AUTOCALLS (terminates early) β
β β You get: Principal + 10% Γ (months held / 12) β
β β
β IF S&P 500 < 5,000: β
β β Note continues to next observation β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Month 24 (Final Maturity):
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β IF S&P 500 β₯ 3,500 (70% barrier): β
β β You get: Principal back ($100,000) β
β β Plus: Accrued coupons if any triggered β
β β
β IF S&P 500 < 3,500 (barrier breached): β
β β You get: Principal Γ (Final Level / 5,000) β
β β Example: S&P at 3,000 β $100,000 Γ 0.60 = $60,000 π± β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
WHY CLIENTS BUY THIS:
β
10% coupon in a low-yield environment
β
30% downside buffer
β
Monthly income potential
WHY IT'S RISKY:
β Can lose significant principal if market crashes
β Capped upside (miss out if market soars)
β Complexity hides true risk
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Case Study 3: The 2008 Credit Derivatives Crisisβ
What Happened with Credit Default Swapsβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
2008: WHEN DERIVATIVES WENT WRONG
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
CREDIT DEFAULT SWAP (CDS): Insurance against bond defaults
Normal Use:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Bank owns $100M in corporate bonds β
β Worried company might default β
β Buys CDS protection β Pays small premium β
β If default β CDS seller pays Bank the $100M β
β β
β Like fire insurance for your bond portfolio β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
What Went Wrong:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β 1. Banks bought CDS on mortgage bonds they didn't own β
β (Speculation, not hedging) β
β β
β 2. AIG sold $500+ BILLION in CDS protection β
β (Without enough capital to back it up) β
β β
β 3. When mortgages defaulted en masse: β
β - Everyone wanted AIG to pay up β
β - AIG couldn't pay β Needed $180B government bailout β
β - Lehman Brothers collapsed β
β - Global financial crisis β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
LESSON:
Derivatives are tools. Like a chainsaw:
- Used properly β Incredibly useful
- Used recklessly β Catastrophic
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π¬ Watch: "The Big Short" (2015) - Excellent film explaining the 2008 crisis
Case Study 4: GameStop 2021 - Options Gamma Squeezeβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
GAMESTOP JANUARY 2021: Options Gone Wild
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
THE SETUP:
- GameStop (GME) trading around $20
- Heavy short interest (hedge funds betting it would fall)
- Reddit's r/WallStreetBets starts buying calls
THE MECHANICS:
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Step 1: Retail traders buy massive amounts of call options β
β β
β Step 2: Market makers who sold calls need to hedge β
β They buy GME stock (delta hedging) β
β β
β Step 3: Buying pressure pushes stock UP β
β β
β Step 4: As stock rises, call deltas increase (gamma) β
β Market makers must buy MORE stock β
β β
β Step 5: More buying β Higher price β More buying β
β GAMMA SQUEEZE! π β
β β
β Step 6: Short sellers forced to buy to cover losses β
β SHORT SQUEEZE on top of GAMMA SQUEEZE! β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
THE RESULT:
GME: $20 β $483 (in about 2 weeks)
Some retail traders: Made millions
Some hedge funds: Lost billions (Melvin Capital)
Trading platforms: Restricted buying (controversy)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Major Banks' Equity Derivatives Revenueβ
| Bank | 2024 Equities Revenue | Key Strengths |
|---|---|---|
| Goldman Sachs | ~$12B | Market making, structured products |
| Morgan Stanley | ~$10B | Prime brokerage, wealth management |
| JP Morgan | ~$9B | Derivatives, cross-selling |
| Bank of America | ~$6B | ETF flow, corporate hedging |
| Citigroup | ~$4B | Global presence, FX cross |
| Barclays | ~$3B | European structured products |
| UBS | ~$3B | Wealth management structured products |
| Deutsche Bank | ~$2B | Structured products expertise |
π Bank Investor Relations:
Quick Reference Cheatsheets
Equities Cheatsheetβ
| Term | Definition | Quick Memory |
|---|---|---|
| Equity | Ownership in a company | Your slice of the pizza |
| Share | Unit of equity | One piece of pizza |
| IPO | First public stock sale | Grand opening party |
| Market Cap | Total value of all shares | Full pizza price |
| Index | Basket of stocks | Playlist of stocks |
| Long | Own/bought stock | Betting it goes up |
| Short | Borrowed and sold stock | Betting it goes down |
| Bull Market | Rising market | π Horns thrust UP |
| Bear Market | Falling market | π» Claws swipe DOWN |
| Dividend | Company profit paid to shareholders | Your share of profits |
Derivatives Cheatsheetβ
| Term | Definition | Quick Memory |
|---|---|---|
| Derivative | Contract based on another asset | Concert ticket (not the concert) |
| Option | Right, not obligation | Restaurant reservation |
| Future | Obligation to trade later | Pre-order commitment |
| Swap | Exchange of cash flows | Trading chores |
| Premium | Option price | Reservation fee |
| Strike | Agreed trade price | The locked-in price |
| Call | Right to BUY | "Call it mine!" |
| Put | Right to SELL | "Put it away!" |
| ITM | Has intrinsic value | Good deal right now |
| OTM | No intrinsic value | Bad deal right now |
| Delta | Price sensitivity | Speedometer |
| Theta | Time decay | Melting ice cream |
| Hedge | Reduce risk | Insurance |
π Useful References & Linksβ
Learning Resourcesβ
| Resource | Description |
|---|---|
| Investopedia | Financial encyclopedia - start here for any term |
| Khan Academy Finance | Free video courses on finance basics |
| Options Industry Council | Free options education |
| CME Group Education | Futures and derivatives learning |
| Corporate Finance Institute | Professional finance courses |
Market Data & Newsβ
| Resource | Description |
|---|---|
| Yahoo Finance | Free stock quotes, news, options chains |
| Bloomberg | Professional financial news |
| CNBC | Market news and analysis |
| Financial Times | Global business news |
| Seeking Alpha | Investment research and analysis |
Tools & Calculatorsβ
| Tool | Use For |
|---|---|
| Options Profit Calculator | Visualize options strategies |
| TradingView | Charts and technical analysis |
| Finviz | Stock screener and market visualization |
| CBOE Options Calculator | Professional options pricing |
Books Worth Readingβ
| Book | Author | Why Read It |
|---|---|---|
| "Options, Futures, and Other Derivatives" | John C. Hull | The textbook for derivatives (academic) |
| "The Big Short" | Michael Lewis | 2008 crisis explained as a story |
| "When Genius Failed" | Roger Lowenstein | LTCM hedge fund collapse |
| "Liar's Poker" | Michael Lewis | Inside 1980s Wall Street |
| "Flash Boys" | Michael Lewis | High-frequency trading explained |
| "A Random Walk Down Wall Street" | Burton Malkiel | Investment philosophy classic |
Video & Documentariesβ
| Watch | Description |
|---|---|
| The Big Short (2015) | 2008 financial crisis dramatized |
| Margin Call (2011) | 24 hours during 2008 crisis |
| Too Big to Fail (2011) | Government's response to 2008 |
| Inside Job (2010) | Oscar-winning documentary on 2008 |
| Billions (TV Series) | Hedge fund drama |
Regulatory & Data Sourcesβ
| Source | What You'll Find |
|---|---|
| SEC EDGAR | Company filings (10-K, 10-Q, S-1) |
| FINRA | Broker regulation |
| OCC | Options Clearing Corporation data |
| ISDA | Derivatives market documentation |
| Federal Reserve | Interest rates, economic data |
π― Key Takeawaysβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
WHAT TO REMEMBER FROM THIS GUIDE
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
1. EQUITIES = Ownership
- Stocks represent ownership in companies
- Investment banks help companies go public (IPO)
- Banks make markets, provide liquidity
2. DERIVATIVES = Contracts based on something else
- Options: Right, not obligation
- Futures: Obligation
- Swaps: Exchange of cash flows
3. OPTIONS Key Concepts:
- Calls for bullish, Puts for bearish
- Premium is what you pay
- Strike is your locked-in price
- Greeks measure different risks
4. Banks play multiple roles:
- Underwriting (help companies raise money)
- Sales & Trading (execute for clients)
- Market Making (provide liquidity)
- Risk Management (protect the firm)
5. Derivatives can be used for:
- Hedging (reducing risk)
- Speculation (taking risk for profit)
- Arbitrage (exploiting price differences)
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Congratulations on completing this guide! π You now understand the fundamentals of how Wall Street's biggest banks trade equities and derivatives. Remember: the best way to learn is by doing β open a paper trading account and try some of these concepts yourself!
Last updated: February 2026